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An Inventory Model for Growing Items with Imperfect Quality When the Demand Is Price Sensitive under Carbon Emissions and Shortages

机译:在碳排放和短缺下需求对价格敏感时,种植质量不完美的物品的库存模型

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摘要

Nowadays, it is well known that global warming is a great hazard to the planet, and the carbon emissions are a principal source of global warming. For this reason, the customers have become more environment and quality conscious than before, and as a result, they request the firms to be ecofriendly. In this context, it is desirable that companies develop and implement inventory models which consider sustainability issues. Furthermore, the companies face problems of shortages and setting prices in order to persist in a competitive and challenging business. Besides, there exists a kind of items different than the traditional products that it is necessary to feed them until a target weight is reached in order to slaughter and sell to customers. These are named as growing items. In this sense, this research work proposes an inventory model for growing items with imperfect quality when the demand is price sensitive under carbon emissions and shortages. The shortages are fully backordered. The demand is price sensitive according to a polynomial function. The proposed inventory model determines jointly the optimal policy for the selling price of perfect-quality growing items, the order quantity, and the backordering quantity which maximize the expected total profit per unit of time. Some numerical examples are resolved in order to illustrate the use and the applicability of the inventory model. Finally, a sensitivity analysis is conducted and some managerial insights are given.
机译:如今,众所周知,全球变暖对地球是一个巨大的危害,而碳排放是全球变暖的主要来源。因此,客户比以前更加注重环境和质量,因此,他们要求公司保持环保。在这种情况下,公司应制定和实施考虑可持续性问题的库存模型。此外,这些公司还面临着短缺和定价的问题,以便在竞争激烈和具有挑战性的业务中持续存在。此外,还有一种不同于传统产品的产品,需要将它们喂食到达到目标重量才能屠宰并出售给客户。这些被命名为增长项目。从这个意义上说,本研究工作提出了一种库存模型,用于在碳排放和短缺下需求对价格敏感的情况下种植质量不完美的物品。短缺是完全延期交货的。根据多项式函数,需求对价格敏感。所提出的库存模型共同确定了完美品质种植商品的销售价格、订单数量和延期交货数量的最优策略,使单位时间内的预期总利润最大化。为了说明清单模型的使用和适用性,对一些数值示例进行了解析。最后,进行了敏感性分析,并给出了一些管理见解。

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